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Research and Application of Bearing Fault Diagnosis Method Based on Resonance Demodulation Technique

机译:基于共振解调技术的轴承故障诊断方法的研究与应用

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The key point to capture the breakdown information is how to improve the signal-to-noise ratio of the vibration signal for the fault diagnosis of bearing. However, the methods of traditional Hilbert demodulation, the traditional generalized filtering demodulation and etc. do not have the ability to improve it. Theoretical analysis and experimental results show that it is difficult to diagnose the bearing fault without any pretreatment and direct spectrum analysis of the vibration signal of fault bearing. Through the principle of resonance demodulation, the resonance demodulation method can obtain higher signal-to-noise ratio. This article is taking the bearing field measured data as the research object. It proves that the demodulated resonance technique can improve the signal-to-noise ratio and extract the fault information more easily. The accuracy of fault diagnosis has been improved greatly as well.
机译:捕获故障信息的关键是如何提高振动信号的信噪比,从而对轴承进行故障诊断。但是,传统的希尔伯特解调方法,传统的广义滤波解调方法等都没有改进的能力。理论分析和实验结果表明,如果不对轴承振动信号进行任何预处理和直接频谱分析,就很难对轴承故障进行诊断。通过谐振解调原理,谐振解调方法可以获得较高的信噪比。本文以方位场实测数据为研究对象。证明了解调共振技术可以提高信噪比,更容易提取故障信息。故障诊断的准确性也大大提高了。

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